EpiGePT: a pretrained transformer-based language model for context-specific human epigenomics

Abstract The inherent similarities between natural language and biological sequences have inspired the use of large language models in genomics, but current models struggle to incorporate chromatin interactions or predict in unseen cellular contexts. To address this, we propose EpiGePT, a transforme...

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Bibliographic Details

Published in:	Genome Biology
Main Authors:	Zijing Gao, Qiao Liu, Wanwen Zeng, Rui Jiang, Wing Hung Wong
Format:	Article
Language:	English
Published:	BMC 2024-12-01
Subjects:	Epigenomics Gene Regulation 3D genome Transformer Language model
Online Access:	https://doi.org/10.1186/s13059-024-03449-7